Identification of Measles Rash spots by Image Contrast Enhancement

Atigah A. Karnaf

doi:10.58916/jhas.v7i6.582

Authors

Atigah A. Karnaf Author

DOI:

https://doi.org/10.58916/jhas.v7i6.582

Keywords:

Medical imaging, Measles Rash, Digital Image Processing, Image Enhancement, Contrast Images

Abstract

Abstract: Measles is classified as contagious and fatal disease in both developing and poor countries. In developing countries, the number of deaths reaches more than 100.000 each year. After decade of successful vaccination for measles in 2000, US declared that the eliminated of measles. As result, the heath care and the public have never seen any measles states. Unfortunately, measles came back in US in 2019 with more than 1000 confirmed cases. To give our assisting in diagnosing measles, we studied a color image from the Measles Rash patient’s skin in an aim to create a computer or phone application in future and then we identified the token image by using matlab simulation codes. Our method shows better contract enhancement and the clear visual image of low contrast measles images has been achieved.

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References

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